SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 83,000 - 116,000 / annual
Braze is seeking a Solutions Consultant to join the Commercial, General Business segment, serving the Americas book of business. This is a pre-sales technical advisory role where you will be a trusted advisor to prospective customers during the sales process, bringing extensive product expertise, strategic vision, and best practices to bear.
You will blend storytelling and sales with technical knowledge to help customers understand how Braze's technology delivers value. Key responsibilities include:
- Positioning Braze's AI capabilities (AI Decisioning Studio, AI Content Optimizer, AI Agents) to sophisticated customers
- Serving as a technical thought leader across General Business verticals, customer types, and geographic markets
- Collaborating with sales, marketing, security, and product teams to support the sales process and build customer confidence
- Participating in product strategy sessions, marketing positioning decisions, and pricing/packaging discussions
- Building strong foundations for long-term customer partnerships beginning in the pre-sales phase
The role requires up to 50% travel at peak times. You will be recognized as a critical member of the Braze engine, with broad product knowledge that extends your influence across the organization.
Braze is a leading customer engagement platform that empowers brands to deliver personalized, AI-powered customer experiences across channels. The company is headquartered in New York with offices globally including San Francisco, Austin, Chicago, London, Paris, Singapore, Sydney, and Tokyo.
**Requirements:**
- Exemplary written and verbal communication skills with strong follow-up discipline
- Proven ability to listen deeply and understand customer problems
- Strong team player mentality
- High intellectual curiosity and desire to learn
- Experience selling into accounts with sophisticated Pre-sales Consulting or Sales Engineering teams
- Domain knowledge in two or more of the following: AI, SaaS, Mobile, APIs, Marketing Automation, Marketing Analytics, or Programming (including HTML)
- Background in Pre-sales Engineering, Technical Account Management, or Customer Success preferred
